Fast depth decision for HEVC inter prediction based on spatial and temporal correlation

@inproceedings{Chen2016FastDD,
  title={Fast depth decision for HEVC inter prediction based on spatial and temporal correlation},
  author={Gaoxing Chen and Zhenyu Liu and Takeshi Ikenaga},
  booktitle={International Workshop on Pattern Recognition},
  year={2016}
}
High efficiency video coding (HEVC) is a video compression standard that outperforms the predecessor H.264/AVC by doubling the compression efficiency. To enhance the compression accuracy, the partition sizes ranging is from 4x4 to 64x64 in HEVC. However, the manifold partition sizes dramatically increase the encoding complexity. This paper proposes a fast depth decision based on spatial and temporal correlation. Spatial correlation utilize the code tree unit (CTU) Splitting information and… 
Multi-feature based fast depth decision in HEVC inter prediction for VLSI implementation
TLDR
This paper proposes a hardware friendly fast depth range definition algorithm based on multiple features that can saved about 33.72% of the processing time with 0.76% of BD-bitrate increase on average.

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